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Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference


Feb 22, 2021
Benjamin Hawks, Javier Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu

* 22 pages, 7 Figures, 1 Table 

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LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications


Apr 06, 2020
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott


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Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic


Jun 26, 2018
Michaela Blott, Thomas B. Preusser, Nicholas Fraser, Giulio Gambardella, Kenneth OBrien, Yaman Umuroglu, Miriam Leeser


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Streamlined Deployment for Quantized Neural Networks


May 30, 2018
Yaman Umuroglu, Magnus Jahre

* Presented at the International Workshop on Highly Efficient Neural Networks Design (HENND) co-located with CASES'17 

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Scaling Binarized Neural Networks on Reconfigurable Logic


Jan 27, 2017
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers

* To appear in the PARMA-DITAM workshop at HiPEAC 2017, January 2017 

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FINN: A Framework for Fast, Scalable Binarized Neural Network Inference


Dec 01, 2016
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers

* To appear in the 25th International Symposium on Field-Programmable Gate Arrays, February 2017 

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